Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions May 10, 2022ยท Tao Lin ยท 0 min read Slides Video Abstract Presentation for our WWW'22 paper “Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions”. Event AAMAS Workshop on Learning with Strategic Agents Last updated on May 10, 2022 Authors Tao Lin Assistant Professor (in Computer Science), School of Data Science, The Chinese University of Hong Kong, Shenzhen ← Persuading a Behavioral Agent: Approximately Best Responding and Learning Mar 3, 2023 Robustness of Empirical Revenue Maximization in Auction Learning Dec 23, 2020 →